Title :
Vehicle Motion Tracking Using Symmetry of Vehicle and Background Subtraction
Author :
Unno, Hiroshi ; Ojima, Kouki ; Hayashibe, Keikichi ; Saji, Hitoshi
Author_Institution :
Shizuoka Univ., Shizuoka
Abstract :
We propose a new method of vehicle motion tracking. In our method, we use the template matching method for tracking. The template matching method has been used in many applications. In vehicle tracking, there are some problems, such as vehicle size change, occlusions, and shaded areas. To solve these problems, we divide and update the template at every frame by the background subtraction method. Moreover, we use the information that the front of the vehicle body is symmetric, and we remove areas other than the vehicle area and update the template correctly. We evaluate the efficacy of our method on several video frames.
Keywords :
image matching; motion estimation; optical tracking; road accidents; road traffic; road vehicles; traffic information systems; background subtraction; occlusion; road accident; road traffic; template matching; vehicle motion tracking; vehicle size change; video frame; Cameras; Data mining; Filters; Image processing; Noise reduction; Road accidents; Road safety; Road vehicles; Tracking; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location :
Istanbul
Print_ISBN :
1-4244-1067-3
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2007.4290269